An intelligent recommender system based on predictive analysis in telehealthcare environment
Article
Article Title | An intelligent recommender system based on predictive analysis in telehealthcare environment |
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ERA Journal ID | 32174 |
Article Category | Article |
Authors | Lafta, Raid (Author), Zhang, Ji (Author), Tao, Xiaohui (Author), Li, Yan (Author), Tseng, Vincent S. (Author), Luo, Yonglong (Author) and Chen, Fulong (Author) |
Journal Title | Web Intelligence |
Journal Citation | 14 (4), pp. 325-336 |
Number of Pages | 12 |
Year | 2016 |
Publisher | IOS Press |
Place of Publication | Netherlands |
ISSN | 1570-1263 |
1875-9289 | |
2405-6456 | |
2405-6464 | |
Digital Object Identifier (DOI) | https://doi.org/10.3233/WEB-160348 |
Web Address (URL) | http://content.iospress.com/articles/web-intelligence/web348 |
Abstract | The use of intelligent technologies for providing useful recommendations to patients suffering chronic diseases may play a positive role in improving the general life quality of patients and help reduce the workload and cost involved in their daily healthcare. The objective of this study is to develop an intelligent recommender system based on predictive analysis for advising patients in the telehealth environment concerning whether they need to take the body test one day in advance by analyzing medical measurements of a patient for the past k days. The proposed algorithms supporting the recommender system have been validated using a time series telehealth data recorded from heart disease patients which were collected from May to January 2012, from our industry collaborator Tunstall. The experimental results show that the proposed system yields satisfactory recommendation accuracy and offer a promising way for saving the workload for patients to conduct body tests every day. This study highlights the possible usefulness of the computerized analysis of time series telehealth data in providing appropriate recommendations to patients suffering chronic diseases such as heart diseases patients. |
Keywords | intelligent system, recommender system, heart failure, time series prediction, telehealth |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
National Chiao Tung University, Taiwan | |
Anhui Normal University, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3w23/an-intelligent-recommender-system-based-on-predictive-analysis-in-telehealthcare-environment
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